What can surveying and remote sensing do for intelligent driving?

doi:10.11947/j.AGCS.2021.20210280

Abstract

Abstract: From the automatic driving vehicle to the intelligent vehicle, and then to intelligent connected vehicle, the intelligent driving vehicle technology and industry has developed rapidly, surveying and remote sensing technology have played an important supporting role. Firstly, this paper introduces the development of intelligent vehicles at home and abroad and their differences from conventional vehicles. Based on the perspective of three important waves of scientific and technological development, this paper comparatively analyzes and summarizes the development process and core technology driving forces of autonomous driving and surveying remote sensing. The intelligent driving vehicle’s key technologies are then introduced from four aspects: top-level planning and policy environment, environment perception and computing decision-making vehicle key technology, high definition map and navigation positioning basic support key technology, and vehicle road collaborative information interaction key technology. Several advanced navigation and positioning technology achievements, such as satellite-based navigation enhancement, high precision position and attitude measurement, multi-source fusion perception, are taken as examples to demonstrate that surveying and mapping can enable intelligent driving of a single car. By introducing mobile measurement and crowdsourcing high precision map-making technology, the key supporting role of surveying and remote sensing for intelligent driving is expounded. This paper takes the construction of space-based information real-time service system as an example to describe the development trend of how surveying, mapping, and remote sensing will serve the “person vehicle road cloud” of intelligent connected vehicles in the future.Finally, the paper summarizes and analyzes the problems that need to be solved in developing intelligent (connected) vehicles and the challenges that need to be addressed in the near future.

Key words: intelligent connected vehicle, surveying and mapping, remote sensing, high definition map, navigation and positioning

CLC Number:

P237

LI Deren, HONG Yong, WANG Mi, TANG Luliang, CHEN Liang. What can surveying and remote sensing do for intelligent driving?[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(11): 1421-1431.

References

[1] 李克强. 智能网联汽车创新发展的探索与实践[J]. 汽车纵横, 2021(1): 18-19. LI Keqiang. The exploration and practice of innovation & development of intelligent connected vehicles[J]. Auto Review, 2021(1): 18-19.
[2] 李克强, 常雪阳, 李家文, 等. 智能网联汽车云控系统及其实现[J]. 汽车工程, 2020, 42(12): 1595-1605. LI Keqiang, CHANG Xueyang, LI Jiawen, et al. Cloud control system for intelligent and connected vehicles and its application[J]. Automotive Engineering, 2020, 42(12): 1595-1605.
[3] 李德仁, 张华. 我国测绘遥感技术发展的回顾与展望[J]. 中国测绘, 2019(2): 24-27. LI Deren, ZHANG Hua. Retrospect and prospect of the development of surveying and remote sensing technology in China[J]. China Surveying and Mapping, 2019(2): 24-27.
[4] 李德仁. 从测绘学到地球空间信息智能服务科学[J]. 测绘学报, 2017, 46(10): 1207-1212. DOI: 10.11947/j.AGCS.2017.20170263. LI Deren. From geomatics to geospatial intelligent service science[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1207-1212. DOI: 10.11947/j.AGCS.2017.20170263.
[5] 李传荣. 高分辨遥感综合定标技术系统的研发助推我国遥感产业进入发展新阶段[J]. 科技促进发展, 2016, 12(3): 371-376. LI Chuanrong. Research and development of high resolution remote sensing comprehensive calibration system boost China’s remote sensing industry entered a new development stage[J]. Science and Technology for Development, 2016, 12(3): 371-376.
[6] 李德仁. 展望大数据时代的地球空间信息学[J]. 测绘学报, 2016, 45(4): 379-384. DOI: 10.11947/j.AGCS.2016.20160057. LI Deren. Towards geo-spatial information science in big data era[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(4): 379-384. DOI: 10.11947/j.AGCS.2016.20160057.
[7] 李德仁. 新基建时代地理信息产业的机遇与挑战[J]. 中国工业和信息化, 2020(12): 52-57. LI Deren. Opportunities and challenges of geographic information industry in the era of new infrastructure[J]. China Industry & Information Technology, 2020(12): 52-57.
[8] 李德仁. 论军民深度融合的通导遥一体化空天信息实时智能服务系统[J]. 科学中国人, 2019(6): 44-47. LI Deren. On the integrated real-time intelligent service system of air and space information of communication, navigation and remote integration of military and civilian integration[J]. Scientific Chinese, 2019(6): 44-47.
[9] 吴冬升. 从“新四跨”测试看车联网产业发展现状和趋势[J]. 通信世界, 2020(31): 23-25. WU Dongsheng. Watching the development status and trends of the internet of vehicles industry from the “New Four Crossings” test[J]. Communications World, 2020(31): 23-25.
[10] 杨明珠. 基于边缘计算的自动驾驶高精地图建图与定位方法[J]. 自动化博览, 2019, 36(9): 30-33. YANG Mingzhu. Auto-driving high-precision map construction and positioning method based on edge computing[J]. Automation Panorama, 2019, 36(9): 30-33.
[11] 梁宗正, 童杨. 高精度地图国内外发展现状及对策[J]. 科技中国, 2021(1): 13-16. LIANG Zongzheng, TONG Yang. The development status and countermeasures of high-precision maps at home and abroad[J]. Science and Technology in China, 2021(1): 13-16.
[12] 尹彤, 黄鹤, 郭迟, 等. 面向自动驾驶的高精地图生产技术及数据模型标准化探讨[J]. 中国标准化, 2021(4): 33-37. YIN Tong, HUANG He, GUO Chi, et al. Discussion on high-definition map production technology and data model standardization for autonomous driving[J]. China Standardization, 2021(4): 33-37.
[13] 段惠斌, 丁鹏, 时晓厚, 等. 基于5G边云协同的高精地图采集与应用研究[J]. 电子技术应用, 2020, 46(12): 32-35. DUAN Huibin, DING Peng, SHI Xiaohou, et al. Research on high definition map collection and application based on 5G edge-cloud collaboration[J]. Application of Electronic Technique, 2020, 46(12): 32-35.
[14] 潘岳, 周兴壮, 欧力, 等. 简析车路协同自动驾驶系统的关键技术[J]. 科学技术创新, 2020(19): 50-52. PAN Yue, ZHOU Xingzhuang, OU Li, et al. Briefly analyze the key technologies of the vehicle-road collaborative automatic driving system[J]. Scientific and Technological Innovation, 2020(19): 50-52.
[15] 中国汽车工程学会, 国汽(北京)智能网联汽车研究院有限公司. 中国智能网联汽车产业发展报告(2020)[M]. 北京: 社会科学文献出版社. 2020 China Society of Automotive Engineering,Guoqi (Beijing) Intelligent Network United Automobile Research Institute Co., Ltd., Annual report on the development of China intelligent connected vehicle industry(2020) [M]. Beijing: Social Sciences Literature Press.
[16] 李克强, 戴一凡, 李升波, 等. 智能网联汽车(ICV)技术的发展现状及趋势[J]. 汽车安全与节能学报, 2017, 8(1): 1-14. LI Keqiang, DAI Yifan, LI Shengbo, et al. State-of-the-art and technical trends of intelligent and connected vehicles[J]. Journal of Automotive Safety and Energy, 2017, 8(1): 1-14.
[17] 张杰. C-V2X与智能车路协同技术的深度融合[J]. 中兴通讯技术, 2020, 26(1): 19-24. ZHANG Jie. Deep integration of C-V2X and intelligent vehicle-infrastructure cooperative systems[J]. ZTE Technology Journal, 2020, 26(1): 19-24.
[18] 宋蒙, 刘琪, 许幸荣, 等. C-V2X技术在智能网联行业中应用探讨[J]. 中兴通讯技术, 2020, 26(1): 60-63. SONG Meng, LIU Qi, XU Xingrong, et al. Application of C-V2X technology in intelligent connected industry[J]. ZTE Technology Journal, 2020, 26(1): 60-63.
[19] 李德仁. 展望5G/6G时代的地球空间信息技术[J]. 测绘学报, 2019, 48(12): 1475-1481. DOI: 10.11947/j.AGCS.2019.20190437. LI Deren. Towards geospatial information technology in 5G/6G era[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(12): 1475-1481. DOI: 10.11947/j.AGCS.2019.20190437.
[20] 夏亮, 刘光毅. 3GPP中V2X标准研究进展[J]. 邮电设计技术, 2018(7): 11-16. XIA Liang, LIU Guangyi. Research advancement of V2X standard in 3GPP[J]. Designing Techniques of Posts and Telecommunications, 2018(7): 11-16.
[21] 朱雪田. 5G车联网技术与标准进展[J]. 电子技术应用, 2019, 45(8): 1-4, 9. ZHU Xuetian. 5G V2X network technology and standards development[J]. Application of Electronic Technique, 2019, 45(8): 1-4, 9.
[22] 缪立新, 王发平. V2X车联网关键技术研究及应用综述[J]. 汽车工程学报, 2020, 10(1): 1-12. MIAO Lixin, WANG Faping. Review on research and applications of V2X key technologies[J]. Chinese Journal of Automotive Engineering, 2020, 10(1): 1-12.
[23] 钱志鸿,田春生,郭银景,等.智能网联交通系统的关键技术与发展[J].电子与信息学报,2020,42(1):2-19. QIAN Zhihong,TIAN Chunsheng,GUO Yinjing,et al. The key technology and development of intelligent and connected transportation system[J].Journal of Electronics & Information Technology, 2020,42(1):2-19.
[24] 张琳. 基于LTE和5G的C-V2X网络建网研究[J]. 信息技术与信息化, 2019(11): 118-120. ZHANG Lin. Research on C-V2X network construction based on LTE and 5G[J]. Information Technology and Informatization, 2019(11): 118-120.
[25] 王丹, 孙滔, 段晓东, 等. 面向垂直行业的5G核心网关键技术演进分析[J]. 移动通信, 2020, 44(1): 8-13. WANG Dan, SUN Tao, DUAN Xiaodong, et al. Analysis on the evolution of key technologies in 5G core networks for vertical industry[J]. Mobile Communications, 2020, 44(1): 8-13.
[26] 陈锐志, 王磊, 李德仁, 等. 导航与遥感技术融合综述[J]. 测绘学报, 2019, 48(12): 1507-1522. DOI: 10.11947/j.AGCS.2019.20190446. CHEN Ruizhi, WANG Lei, LI Deren, et al. A survey on the fusion of the navigation and the remote sensing techniques[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(12): 1507-1522. DOI: 10.11947/j.AGCS.2019.20190446.
[27] 杨元喜. 弹性PNT基本框架[J]. 测绘学报, 2018, 47(7): 893-898. DOI: 10.11947/j.AGCS.2018.20180149. YANG Yuanxi. Resilient PNT concept frame[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(7): 893-898. DOI: 10.11947/j.AGCS.2018.20180149.
[28] 杨元喜. 综合PNT体系及其关键技术[J]. 测绘学报, 2016, 45(5): 505-510. DOI: 10.11947/j.AGCS.2016.20160127. YANG Yuanxi. Concepts of comprehensive PNT and related key technologies[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(5): 505-510. DOI: 10.11947/j.AGCS.2016.20160127.
[29] 王磊, 陈锐志, 李德仁, 等. 珞珈一号低轨卫星导航增强系统信号质量评估[J]. 武汉大学学报(信息科学版), 2018, 43(12): 2191-2196. WANG Lei, CHEN Ruizhi, LI Deren, et al. Quality assessment of the LEO navigation augmentation signals from Luojia-1A satellite[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2191-2196.
[30] 陈锐志, 陈亮. 基于智能手机的室内定位技术的发展现状和挑战[J]. 测绘学报, 2017, 46(10): 1316-1326. DOI: 10.11947/j.AGCS.2017.20170383. CHEN Ruizhi, CHEN Liang. Indoor positioning with smartphones: the state-of-the-art and the challenges[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1316-1326. DOI: 10.11947/j.AGCS.2017.20170383.
[31] KHALEGHI B, KHAMIS A, KARRAY F O, et al. Multisensor data fusion: a review of the state-of-the-art[J]. Information Fusion, 2013, 14(1): 28-44.
[32] 陈锐志, 郭光毅, 叶锋, 等. 智能手机音频信号与MEMS传感器的紧耦合室内定位方法[J]. 测绘学报, 2021, 50(2): 143-152. DOI: 10.11947/j.AGCS.2021.20200551. CHEN Ruizhi, GUO Guangyi, YE Feng, et al. Tightly-coupled integration of acoustic signal and MEMS sensors on smartphones for indoor positioning[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(2): 143-152. DOI: 10.11947/j.AGCS.2021.20200551.
[33] 陈锐志, 叶锋. 基于Wi-Fi信道状态信息的室内定位技术现状综述[J]. 武汉大学学报(信息科学版), 2018, 43(12): 2064-2070. CHEN Ruizhi, YE Feng. An overview of indoor positioning technology based on Wi-Fi channel state information[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2064-2070.
[34] 阮双双, 郭晟, 曹圣群, 等. 一种用于车载导航系统的零延迟组合导航初始化方法: 中国, 201810979830.1[P]. 2018-12-21. RUAN Shuangshuang,GUO Sheng,CAO Shengqun,et al. A zero delay integrated navigation initialization method for vehicle navigation system:China, 201810979830.1[P].2018-12-21.
[35] 洪勇, 曹圣群, 兰海滨, 等. 一种基于MEMS惯性技术的混合高精度导航通信一体模块: 中国, 109163719A[P]. 2018-08-16. HONG Yong, CAO shengqun, LAN Haibin, et al. A hybrid high-precision navigation and communication integrated module based on MEMS inertial technology: China, 109163719A[P].2018-08-16.
[36] 郭向欣, 郭晟, 邵慧超, 等. 一种智能驾驶性能检测多目标协同定位系统及方法: 中国, 110187374A[P]. 2019-05-28. GUO Xiangxin, GUO Sheng, SHAO Huichao, et al. A multi-target cooperative positioning system and method for intelligent driving performance detection: China, 110187374A[P].2019-05-28.
[37] CHIELLA A C B, MACHADO H N, TEIXEIRA B O S, et al. GNSS/LiDAR-based navigation of an aerial robot in sparse forests[J]. Sensors (Basel), 2019, 19(19): 4061.
[38] 曾庆喜, 邱文旗, 冯玉朋, 等. GNSS/VO组合导航研究现状及发展趋势[J]. 导航定位学报, 2018, 6(2): 1-6. CENG Qingxi, QIU Wenqi, FENG Yupeng, et al. Status and development trend analysis of GNSS/VO integrated navigation system[J]. Journal of Navigation and Positioning, 2018, 6(2): 1-6.
[39] 邵永社, 陈鹰, 祝小平. 利用影像匹配和摄影测量实现无人机精确导航[J]. 测控技术, 2006, 25(8): 79-82. SHAO Yongshe, CHEN Ying, ZHU Xiaoping. Navigating the UAV/RPV accurately using image matching technique and photogrammetric theory[J]. Measurement and Control Technology, 2006, 25(8): 79-82.
[40] 王晨捷, 罗斌, 李成源, 等. 无人机视觉SLAM协同建图与导航[J]. 测绘学报, 2020, 49(6): 767-776. DOI: 10.11947/j.AGCS.2020.20190145. WANG Chenjie, LUO Bin, LI Chengyuan, et al. The collaborative mapping and navigation based on visual SLAM in UAV platform[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(6): 767-776. DOI: 10.11947/j.AGCS.2020.20190145.
[41] 李德仁, 郭晟, 胡庆武. 基于3S集成技术的LD2000系列移动道路测量系统及其应用[J]. 测绘学报, 2008, 37(3): 272-276. LI Deren, GUO Sheng, HU Qingwu. 3S(RS, GPS, GIS) integration technology based LD2000 series mobile mapping system and its applications[J]. Acta Geodaetica et Cartographica Sinica, 2008, 37(3): 272-276.
[42] 李德仁. 移动测量技术及其应用[J]. 地理空间信息, 2006, 4(4): 1-5. LI Deren. Mobile mapping technology and its applications[J]. Geospatial Information, 2006, 4(4): 1-5.
[43] 刘经南, 詹骄, 郭迟, 等. 智能高精地图数据逻辑结构与关键技术[J]. 测绘学报, 2019, 48(8): 939-953. DOI: 10.11947/j.AGCS.2019.20190125. LIU Jingnan, ZHAN Jiao, GUO Chi, et al. Data logic structure and key technologies on intelligent high-precision map[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(8): 939-953. DOI: 10.11947/j.AGCS.2019.20190125.
[44] 陆哲元. 基于高精地图的车路协同智能交通系统[J]. 中国公共安全, 2019(11): 101-103. LU Zheyuan. Vehicle-road collaborative intelligent transportation system based on high-precision map[J]. China Public Security, 2019(11): 101-103.
[45] 许朝文, 刘斌. 自动驾驶地图的发展路线探析[J]. 时代汽车, 2021(2): 26-27. XU Chaowen, LIU Bin. Analysis of the development route of autonomous driving maps[J]. Auto Time, 2021(2): 26-27.
[46] 徐强. 5G时代的高精地图助力自动驾驶安全之路[J]. 中国测绘, 2019(5): 14-16. XU Qiang. High-precision maps in the 5G era help the road to autonomous driving safety[J]. China Surveying and Mapping, 2019(5): 14-16.
[47] 刘经南, 董杨, 詹骄, 等. 自动驾驶地图有关政策的思考和建议[J]. 中国工程科学, 2019, 21(3): 92-97. LIU Jingnan, DONG Yang, ZHAN Jiao, et al. Thoughts and suggestions on autonomous driving map policy[J]. Strategic Study of Chinese Academy of Engineering, 2019, 21(3): 92-97.
[48] 郑建华. 从信息安全角度谈人工智能[J]. 中国信息安全, 2018(5): 60-61. ZHENG Jianhua. Talk about artificial intelligence from the perspective of information security[J]. China Information Security, 2018(5): 60-61.
[49] 吴世忠. 对新一代人工智能发展与安全问题的思考[J]. 中国信息安全, 2018(5): 62-64. WU Shizhong. Thoughts on the development and security of a new generation of artificial intelligence[J]. China Information Security, 2018(5): 62-64.
[50] 王新年, 张传桢. 智能网联汽车信息安全测评体系[J]. 北京汽车, 2021(1): 25-32. WANG Xinnian, ZHANG Chuanzhen. Test and evaluation system for cyber security of intelligent connected vehicle[J]. Beijing Automotive Engineering, 2021(1): 25-32.
[51] 李峥. 总体国家安全观视角下的人工智能与国家安全[J]. 当代世界, 2018(10): 18-21. LI Zheng. Artificial intelligence and national security: from a perspective of national security view[J]. Contemporary World, 2018(10): 18-21.
[52] 刘经南, 郭文飞, 郭迟, 等. 智能时代泛在测绘的再思考[J]. 测绘学报, 2020, 49(4): 403-414. DOI: 10.11947/j.AGCS.2020.20190539. LIU Jingnan, GUO Wenfei, GUO Chi, et al. Rethinking ubiquitous mapping in the intelligent age[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(4): 403-414. DOI: 10.11947/j.AGCS.2020.20190539.
[53] 王之卓. 瞻望测绘学科的发展前景——纪念《测绘学报》创刊三十周年[J]. 测绘学报, 1987, 16(2): 83-85. WANG Zhizhuo. Looking forward to the development prospects of the subject of surveying and mapping-commemorating the 30th anniversary of the founding of “Journal of Surveying and Mapping”[J]. Acta Geodaetica et Cartographica Sinica, 1987, 16(2): 83-85.